Mid America Apartment Communities (MAA) EBITDA Margin (2009 - 2026)
Mid America Apartment Communities' EBITDA Margin was 61.72% in Q2 2026, up 5.10 percentage points from 56.62% a year earlier but down 0.96 percentage points from the prior quarter.
Mid America Apartment Communities (MAA) EBITDA Margin (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Mid America Apartment Communities' EBITDA Margin was 57.06% through Jun 30, 2026, down 5.50 percentage points year-over-year; for FY2025, it came in at 57.66%, down 1.94 percentage points from FY2024.
- EBITDA Margin has now declined for four consecutive years, though with a five-year change of +1.05 percentage points (FY2020 to FY2025).
- In earlier years, EBITDA Margin was 59.60% in FY2024 (-0.53 pp), 60.13% in FY2023 (-6.80 pp), 66.93% in FY2022 (-3.94 pp) and 70.87% in FY2021 (+14.25 pp).
- Quarterly EBITDA Margin has moved between 48.26% (Q4 2025) and 80.84% (Q4 2021) over five years.
- Compared with a year earlier, EBITDA Margin was higher in five of the last eight quarters, with an average year-over-year change of -0.72 percentage points.
- The best year-over-year quarter for EBITDA Margin over five years was Q4 2021 (a gain of 19.76 percentage points); the worst was Q4 2025 (a drop of 18.86 percentage points).
- Per Business Quant data, MAA's EBITDA Margin in the three quarters before Q2 2026 was 62.68% (Q1 2026), 48.26% (Q4 2025) and 55.58% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 176.94 Bn | 162.96 Bn | 1.47 Bn | 28.40% |
| 2 | Prologis | 122.03 Bn | 115.99 Bn | - | 74.40% |
| 3 | Simon Property | 74.72 Bn | 70.78 Bn | - | 71.71% |
| 4 | Public Storage | 61.00 Bn | 59.72 Bn | - | 53.64% |
| 5 | Realty Income | 55.78 Bn | 54.05 Bn | - | 90.88% |
| 6 | Ventas | 45.39 Bn | 44.06 Bn | - | 36.44% |
| 7 | Extra Space Storage | 33.09 Bn | 32.00 Bn | 650.96 Mn | 66.44% |
| 8 | Vici Properties | 27.35 Bn | 25.70 Bn | 1.06 Bn | 53.36% |
| 9 | Vivmark Residential | 24.46 Bn | 24.24 Bn | - | - |
| 10 | Mid America Apartment Communities | 13.72 Bn | 13.51 Bn | - | 55.57% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 55.57% |
| Jun 30, 2026 | 61.72% |
| Mar 31, 2026 | 62.68% |
| Dec 31, 2025 | 48.26% |
| Sep 30, 2025 | 55.58% |
| Jun 30, 2025 | 56.62% |
| Mar 31, 2025 | 70.32% |
| Dec 31, 2024 | 67.11% |
| Sep 30, 2024 | 56.17% |
| Jun 30, 2024 | 53.65% |
| Mar 31, 2024 | 61.45% |
| Dec 31, 2023 | 63.90% |
| Sep 30, 2023 | 54.99% |
| Jun 30, 2023 | 61.58% |
| Mar 31, 2023 | 60.05% |
| Dec 31, 2022 | 71.26% |
| Sep 30, 2022 | 57.85% |
| Jun 30, 2022 | 78.36% |
| Mar 31, 2022 | 60.15% |
| Dec 31, 2021 | 80.84% |
Mid America Apartment Communities EBITDA Margin API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=ebitda-margin&ticker=MAA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "ticker": "MAA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=ebitda-margin&ticker=MAA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();